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盛瀚民

副教授硕士生导师
性别：男
毕业院校：西南交通大学
学历：博士研究生毕业
学位：工学博士学位
在职信息：在职人员
所在单位：自动化工程学院
学科：模式识别与智能系统
仪器科学与技术
办公地点：C2-303
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论文成果

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[1] H. Sheng, B. Ray, S. Kayamboo, X. Xu, and S. Wang, Battery Health Estimation Based on Multi-domain Transfer Learning,IEEE transactions on Power Electronics, vol. 1, no. 1, pp. early access, Dec 2023.
[2] X. Chen, Z. Liu, H. Sheng, K. Wu, J. Mi, and Q. Li, Transfer learning based remaining useful life prediction of lithium-ion battery considering capacity regeneration phenomenon,Journal of Energy Storage, vol. 76, no. 1, pp. 109798, Dec 2023.
[3] X. Chen, ,Z. Liu, H. Sheng, Q. Li, J. Mi, and X. Tang, A data reconstruction-based Monte Carlo method for remaining useful life prediction of lithium-ion battery with few historical samples,Journal of Power Sources, vol. 589, no. 1, pp. 233760, Dec 2023.
[4] Sheng, Hanmin Ray, Biplob Shao, Jinliang Lasantha, Dimuth Das, Narottam, Generalization of Solar Power Pield Modeling Using Knowledge Transfer,Expert Systems with Applications, vol. 201, pp. 116992, Jun 2022.
[5] Sheng, Hanmin Zhou, Yuan Bai, Libing Shi, Lei, Transfer State of Health Estimation Based on Cross-Manifold Embedding,Journal of Energy Storage, vol. 47, no. 1, pp. 103555, Jun 2022.
[6] Sheng Hanmin; Xiao Jian, Electric Vehicle State of Charge Estimation: Nonlinear Correlation and Fuzzy Support Vector Machine,Journal of Power Sources, vol. 281, pp. 131-137,
[7] Sheng Hanmin; Xiao Jian; Wang Peng, Lithium Iron Phosphate Battery Electric Vehicle State-of-Charge Estimation Based on Evolutionary Gaussian Mixture Regression,IEEE transactions on Industrial Electronics, vol. 64, no. 1, pp. 544-551, Jun 2017.
[8] Sheng, H. M. Liu, X. Bai, L. B. Dong, H. C. Cheng, Y. H., Small Sample State of Health Estimation Based on Weighted Gaussian Process Gegression,Journal of Energy Storage, vol. 41, pp. 102816, Jun 2021.
[9] Sheng Hanmin; Xiao Jian; Cheng Yuhua; Ni Qiang; Wang Song, Short-Term Solar Power Forecasting Based on Weighted Gaussian Process Regression,IEEE transactions on Industrial Electronics, vol. 65, no. 1, pp. 300-308, Jun 2018.
[10] Sheng Hanmin; Zhou Wenjian; Zheng Jiajun; Zhao Yuan; Ma Wenjian, Transfer Reinforcement Learning for Dynamic Spectrum Environment,IEEE transactions on Wireless Communication, Jun 2023.
[11] Li Yuanyuan; Sheng Hanmin; Cheng Yuhua; Daniel Ioan Stroe; Remus Teodorescu, State-of-health estimation of lithium-ion batteries based on semi-supervised transfer component analysis,Applied Energy, vol. 277, no. 1, pp. 115504, Jun 2020.
[12] Ni Qiang; Zhuang Shengxian; Sheng Hanmin; Kang Gaoqiang; Xiao Jian, An Ensemble Prediction Intervals Approach for Short-term PV Power Forecasting,Solar Energy, vol. 155, pp. 1072-1083, Jun 2017.
[13] Li Yuanyuan; Daniel Ioan Stroe; Cheng Yuhua; Sheng Hanmin; Sui Xin, On the Feature Selection for Battery State of Health Estimation Based on Charging-Discharging Profiles,Journal of Energy Storage, vol. 33, no. 1, pp. 102122, Jun 2021.
[14] Shi Lei, Cheng Yuhua, Shao Jinliang, Wang Xiaofan, and Sheng Hanmin, Leader-Follower Opinion Dynamics of Signed Social Networks With Asynchronous Trust/Distrust Level Evolution,IEEE Transactions on Network Science and Engineering, vol. 9, no. 2, pp. 495-509,
[15] Shi Lei; Cheng Yuhua; Shao Jinliang; Sheng Hanmin; Liu Qing Chen, Cucker-Smale flocking over cooperation-competition networks,Automatica, vol. 135, pp. 109988, Jun 2022.
[16] Chen Kai, Ma Zhuangzhuang, Bai LIbing, Sheng Hanmin, and Cheng Yuhua, Emergence of bipartite flocking behavior for Cucker-Smale model on cooperation-competition networks with time-varying delays,Neurocomputing, vol. 507, no. 1, pp. 325-331,

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